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Implementing TURF analysis through binary linear programming

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Abstract

This paper introduces the approach of using Total Unduplicated Reach and Frequency analysis (TURF) to design a product line through a binary linear programming model. This improves the efficiency of the search for the solution to the problem compared to the algorithms that have been used to date. The results obtained through our exact algorithm are presented, and this method shows to be extremely efficient both in obtaining optimal solutions and in computing time for very large instances of the problem at hand. Furthermore, the proposed technique enables the model to be improved in order to overcome the main drawbacks presented by TURF analysis in practice.

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File URL: http://www.econ.upf.edu/docs/papers/downloads/1197.pdf
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Bibliographic Info

Paper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 1197.

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Date of creation: Feb 2010
Date of revision: Nov 2012
Handle: RePEc:upf:upfgen:1197

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Web page: http://www.econ.upf.edu/

Related research

Keywords: Total Unduplicated Reach and Frequency; Market research; Competitive algorithm; Product optimization; Large datasets;

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